Data mining for generalised object recognition

Object recognition from machine vision is a complex task that can involve the comparison of image data with hundreds of thousands of templates. The use of brightness contours instead of edges and the corresponding contour profile diagram, or fingerprint, can provide mathematically non-intensive comparisons that can be efficiently performed in a database. This, the second of two papers, deals with data mining a library of known objects for matches and the final confirmation or rejection of the object identity. It should be read in conjunction with the first paper [1], which outlines the general problem and presents preliminary results.